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Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry

Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regul...

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Detalles Bibliográficos
Autores principales: Gillespie, Mark A., Palii, Carmen G., Sanchez-Taltavull, Daniel, Perkins, Theodore J., Brand, Marjorie, Ranish, Jeffrey A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757672/
https://www.ncbi.nlm.nih.gov/pubmed/33377109
http://dx.doi.org/10.1016/j.xpro.2020.100216
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author Gillespie, Mark A.
Palii, Carmen G.
Sanchez-Taltavull, Daniel
Perkins, Theodore J.
Brand, Marjorie
Ranish, Jeffrey A.
author_facet Gillespie, Mark A.
Palii, Carmen G.
Sanchez-Taltavull, Daniel
Perkins, Theodore J.
Brand, Marjorie
Ranish, Jeffrey A.
author_sort Gillespie, Mark A.
collection PubMed
description Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage. For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020).
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spelling pubmed-77576722020-12-28 Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry Gillespie, Mark A. Palii, Carmen G. Sanchez-Taltavull, Daniel Perkins, Theodore J. Brand, Marjorie Ranish, Jeffrey A. STAR Protoc Protocol Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage. For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020). Elsevier 2020-12-13 /pmc/articles/PMC7757672/ /pubmed/33377109 http://dx.doi.org/10.1016/j.xpro.2020.100216 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Gillespie, Mark A.
Palii, Carmen G.
Sanchez-Taltavull, Daniel
Perkins, Theodore J.
Brand, Marjorie
Ranish, Jeffrey A.
Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
title Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
title_full Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
title_fullStr Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
title_full_unstemmed Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
title_short Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
title_sort absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757672/
https://www.ncbi.nlm.nih.gov/pubmed/33377109
http://dx.doi.org/10.1016/j.xpro.2020.100216
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